Podcast Episode

FDE: The $1M/Year AI Job Explained

Who’s talking

2 speakers
Vas36 min · 71%
Greg Isenberg15 min · 29%

Transcript

128 turns · 52 min
GI
Greg Isenberg0:00

I know it's crazy, but there are people making a million dollars a year as forward deploy engineers. But what exactly is an FDE? I know you've probably seen it, but I feel like a lot of people aren't clear as to what it is and how they could become one. Well, in this episode, I brought on my friend Vas, and Vas is a leading expert when it comes to FDEs with his company, Verik Agents. And in this episode, he gives you his entire playbook, how you could become an FDE in thirty days. Now, this episode is for people who wanna become an FDE, but also for people who are just interested in what it means, how they can actually use FDEs in their business to be-- make more money, to be more productive. And I just think this is the clearest episode, the clearest piece of content on the internet, the clearest master class for how to understand clearly what an FDE is, how you could become one, and why it matters. Enjoy the episode, and I'll see you at the end. [upbeat music] The Startup Grind podcast. It's sippin' time, baby. Vas is here, and Vas, by the end of this episode, what are people going to learn?

V
Vas1:20

They're gonna learn exactly how to break into forward deployed engineering or become a better FDE in thirty days, the full roadmap for AI forward deployed engineering.

GI
Greg Isenberg1:28

And I don't feel like this has been shared anywhere. I feel like the term forward deploy engineer is just, like, on my X feed everywhere. So what I'm hoping for, Vas, is for you to clearly explain what this means and just, like, all the concepts to it and just break it down for me in a clear, easy to understand way so, so I could, uh, so I could, you know, learn from it, but so others can learn from it too.

V
Vas1:55

Absolutely. And there's a lot of different definitions. Everyone has their own, and I'm gonna give you what I think is the clearest explanation.

GI
Greg Isenberg2:01

Okay, let's do it.

V
Vas2:02

Sweet. So yeah, this has never been shared before. This is something our team put together. Uh, it's how to break into FDE in thirty days. Let's start off with, uh, recent developments and the facts of today. The reality is every company can now buy intelligence. You know, you have a frontier model being released every single day. Just yesterday, we had Kimi Three being released. Uh, last week was Fable, uh, Five, you know, or GPT-506 Soul. Every company can now buy intelligence, and the reality is intelligence is becoming commoditized. So the same foundational capability is becoming available to anybody who can pay for it, and that's most companies today. So what you'll see here is a graphic where every company has access to the same foundational model. So if everyone can access it, intelligence can no longer be the moat. I think there was this huge theory that, you know, people will be priced out of intelligence, and that could be the case in the future. But the reality is today, everyone has access to the same tools. If you go and talk to fifty different enterprise clients, they're all using the same stack. They're all using Claude Code, Codex. They're using Cursor for model agnosticism. Uh, they're using GitHub Copilot. It's all the same thing. So the reality is everyone has the same capability in terms of what intelligence

Episode notes

I sit down with Vas from Varick Agents to map out exactly how to break into AI forward deployed engineering — and how to grow into a sharper FDE — in thirty days. We start from a single premise: every company can now buy the same frontier intelligence, so the real advantage moves to deployment. Vas traces the role back to Palantir, explains the judgment that decides where AI belongs, and lays out the audit → evals → deployment loop that turns raw models into measurable business value. He then hands over a full 30-day plan to build, harden, measure, and defend a production-grade agent, so you can do the job before you hold the title. The whole conversation stays tactical and grounded, with clear examples I can apply today.

The FDE Blueprint: https://startup-ideas-pod.link/fde-starter

Timestamps

00:00 – Intro

02:03 – What is an FDE

04:09 – How Palantir Popularized FDEs

06:16 – Deciding Where Intelligence Belongs 

11:26 – What FDEs Earn

14:59 – Two Kinds of Judgment: Communication and Engineering

17:38 – How the Work Really Gets Done

20:40 – Audit, Evaluation, Deployment

22:56 – Which LLM to Choose

27:36 – Audit: Finding the Workflow Worth Rebuilding

31:47 – Evals: Turn non-determinism into evidence

32:57 – Deployment: Build on Existing Systems

38:59 – The 30-Day Plan Begins

49:13 – Final Thoughts

Key Points

Showing a preview — retrieve the full transcript via the Exa API.

Powered by the Exa API